thermal-fluid-analysis

thermal-fluid-analysis is a skill for Claude Code, Codex from hanhuark/mechanical-engineering-research-skill. It costs 56 tokens per session (496 once invoked), scanned A, original, MIT.

A method for analysing heat, fluid flow, and related engineering systems. It keeps measurements, simulations, assumptions, equations, limits, and uncertainty connected to the physical meaning of the results.

In plain words
What is it for?
Use it for heat-transfer, fluid-flow, phase-change, heating and cooling, energy-system, turbomachinery, piping, or thermal-management analysis. It also supports experiment reports, computational fluid dynamics (CFD), and engineering correlations.
Why use it?
It helps prevent calculations from being presented without their conditions or reliability. It makes it easier to check whether results obey basic physics and apply to the situation being studied.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the thermal-fluid-research-workflow plugin — 9 skills, 17 commands shipped together

Good fit Use it for heat-transfer, fluid-flow, phase-change, heating and cooling, energy-system, turbomachinery, piping, or thermal-management analysis. It also supports experiment reports, computational fluid dynamics (CFD), and engineering correlations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hanhuark/mechanical-engineering-research-skill/thermal-fluid-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add hanhuark/mechanical-engineering-research-skill --skill thermal-fluid-analysis
Clone the repo
git clone --depth 1 https://github.com/hanhuark/mechanical-engineering-research-skill

Made for: Claude Code, Codex.

Or install thermal-fluid-research-workflow, the plugin that ships this one along with the rest of its 9 skills, 17 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for thermal-fluid-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/hanhuark/mechanical-engineering-research-skill/thermal-fluid-analysis/github.svg)](https://agentmods.dev/skills/hanhuark/mechanical-engineering-research-skill/thermal-fluid-analysis)
Your own site
<a href="https://agentmods.dev/skills/hanhuark/mechanical-engineering-research-skill/thermal-fluid-analysis"><img src="https://agentmods.dev/badge/skills/hanhuark/mechanical-engineering-research-skill/thermal-fluid-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for thermal-fluid-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/hanhuark/mechanical-engineering-research-skill/thermal-fluid-analysis"><img src="https://agentmods.dev/badge/skills/hanhuark/mechanical-engineering-research-skill/thermal-fluid-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 496 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.00496
Opus 5 $0.00028 $0.00248
Sonnet 5 $0.00011 $0.00099
Haiku 4.5 $0.00006 $0.00050

Measured 2d ago against content hash d9883d0f6ffa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

thermal-fluid-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/thermal-fluid-analysis/SKILL.md · 35 lines

How it starts

The opening of the file, as written. The whole thing — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Thermal-Fluid Analysis

Purpose

Develop decision-ready thermal-fluid analysis without separating numerical output from physical meaning. State what is measured, simulated, derived, assumed, or inferred; retain units, sign conventions, property states, system boundaries, and applicability limits.

Analysis Workflow

  1. Define the system: geometry, working fluid, operating regime, boundary conditions, performance metrics, and constraints.
  2. Establish the physical model: governing balances, material properties and their evaluation state, dimensionless groups, competing mechanisms, and expected limiting behavior.
  3. Select evidence: standards, handbooks, peer-reviewed work, calibrated measurements, validated CFD, or correlations inside their stated range.
  4. Test credibility: dimensional consistency, conservation, order of magnitude, limiting cases, uncertainty/sensitivity, and an independent analytical or empirical check where possible.
  5. Conclude by mechanism and tradeoff: performance, pressure drop or pumping power, manufacturability, reliability, cost, safety, scaling, and residual risk.

Experiments

Report the facility and specimen geometry, instrumentation, calibration, sampling, procedure, data reduction, heat-loss treatment, repeatability, uncertainty propagation, and exclusions. Distinguish sensor uncertainty from run-to-run variability. Do not call a preliminary demonstration validation without a stated comparison target.

CFD And Modeling

List all assumptions before presenting results and justify each one. State the domain, mesh and mesh-independence evidence, models, wall treatment, property models, boundary and initial conditions, solver/convergence criteria, time step where applicable, and validation data. Treat a converged solution as numerical evidence, not experimental proof.

Results Discussion

For each important figure, move through: what is plotted; what changes; the physical explanation; and comparison with literature, theory, or an independent data source. Do not merely restate a trend. Explain the regime, competing mechanisms, and the conditions under which the conclusion might fail.

Read the full file on GitHub · 35 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 35 lines · 56 tokens per session scan A d9883d0f6ffa

Subscribe to this mod's changes

thermal-fluid-analysis is a skill published in the GitHub repository hanhuark/mechanical-engineering-research-skill (16 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 496 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-10.

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